Docente
Ludovico Biagi (mail)
Area di ricerca
Geoinformatica
Keyword (max 3 separate da virgola)
GNSS, Efficient Leave One Out
Tecnologie da utilizzare
Python
Descrizione (max 500 caratteri)
GNSS provide positions estimates that are quite accurate in a good observation environment. However, in harsh conditions, blundered observations can seriously affect the accuracy of the estimated positions.
The Leave One Out method is really accurate in identifying blunders but is not efficient from a numerical point of view: this is clearly a serious problem for real time applications.
An efficient LOO method has been studied. The student will implement it and apply it to simulated GNSS data to test accuracy and efficiency.
The Leave One Out method is really accurate in identifying blunders but is not efficient from a numerical point of view: this is clearly a serious problem for real time applications.
An efficient LOO method has been studied. The student will implement it and apply it to simulated GNSS data to test accuracy and efficiency.